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Record W1946729112 · doi:10.7202/009130ar

Pension Fund Corporate Engagement

2004· article· en· W1946729112 on OpenAlexvenueno aff
Gordon L. Clark, Tessa Hebb

Bibliographic record

VenueRelations industrielles · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsnot available
Fundersnot available
KeywordsPensionCorporate governanceBusinessInstitutional investorPosition (finance)AccountingValue (mathematics)Capital marketPassive managementFinance

Abstract

fetched live from OpenAlex

Pension fund capitalism is a new, albeit evolving, stage of Anglo-American capital market development. It is marked by the ability of pension funds to aggregate the widely disbursed ownership of beneficiaries and therefore act as single entities with a unified voice. Pension funds within their investment portfolios are increasingly using this voice to engage companies. Such corporate engagement in its broadest definition is the use of one’s ownership position to influence company management decision making. Corporate engagement brings together four distinct underlying currents: first, the increased use of passive index funds; second, the corporate governance movement; third, the growing impact of socially responsible investing; and, finally, the impact of new global standards. At its best corporate engagement offers a long-term view of value that both promotes higher corporate, social and environmental standards and adds share value, thus providing long-term benefits to future pension beneficiaries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0130.005
Open science0.0010.010
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0910.039

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.104
GPT teacher head0.252
Teacher spread0.147 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations178
Published2004
Admission routes1
Has abstractyes

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